An Inexpensive, Open-Source, Remote Water Level Monitoring Solution for Dam Safety

被引:0
|
作者
Smith, Corinne [1 ]
Downey, Austin R.J. [1 ]
McCain, John [2 ]
机构
[1] University of South Carolina, 300 Main Street, Columbia,SC,29208, United States
[2] South Carolina Department of Health and Environmental Control, 2600 Bull Street, Columbia,SC,29201, United States
来源
Journal of Dam Safety | 2022年 / 19卷 / 04期
关键词
Condition - Dam safety - Flexible platforms - Large system - Monitoring system - Open-source - Performance - South Carolina - Sudden change - Water level monitoring;
D O I
暂无
中图分类号
学科分类号
摘要
Water level is an essential parameter in monitoring the performance and condition of dams, and sudden changes in water level can indicate a potentially hazardous situation. Traditional gaging technology poses financial obstacles to organizations attempting to monitor multiple dams that may not have the infrastructure for large systems. Open-source electronics and the Internet of Things (IoT) offer a more-economical and flexible platform to develop monitoring systems tailored to dam safety needs. The South Carolina Department of Health and Environmental Control’s Dam Safety Program (Program) has developed a remote water level monitoring system prototype using the Arduino open-source electronics platform and Adafruit IO cloud service. Ultrasonic and pressure-based methods are used to measure water level, and data are sent via a cellular network to a graphical user interface to provide real-time monitoring accessible through any internet-connected device. The entire system costs less than $500 USD plus an estimated $30 USD per month for telemetry. All electronics, software, and hardware designs are completely open-source and available in a GitHub repository. When tested against traditional technology, the system proved capable of capturing and displaying accurate readings in real time. The system was also deployed on a dam and effectively displayed water level data for a 14-day deployment. © 2022, Association of State Dam Safety Officials. All rights reserved.
引用
收藏
页码:6 / 26
相关论文
共 50 条
  • [1] The open-source solution
    Constantine, Larry
    [J]. TECHNOLOGY REVIEW, 2007, 110 (01) : 26 - 26
  • [2] An Inexpensive, Open-Source Mini-Centrifuge
    Warejoncas, Zachary
    Stewart, Chris
    Giannini, John
    [J]. AMERICAN BIOLOGY TEACHER, 2018, 80 (06): : 451 - 456
  • [3] Open-source low-cost design of a buoy for remote water quality monitoring in fish farming
    Medina, Juan D.
    Arias, Alejandro
    Triana, Juan M.
    Giraldo, Luis F.
    Segura-Quijano, Fredy
    Gonzalez-Mancera, Andres
    Zambrano, Andres F.
    Quimbayo, Julian
    Castillo, Eduardo
    [J]. PLOS ONE, 2022, 17 (06):
  • [4] Alpha spectrometry with the inexpensive open-source detector Alphaino
    Gugliermetti, Luca
    Lepore, Luigi
    Remetti, Romolo
    Tosti, Massimiliano Colarieti
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2019, 928 : 13 - 19
  • [5] An Open-Source IoT Remote Monitoring System for High-Hazard Dams
    Smith, Corinne
    McCain, John
    Downey, Austin R. J.
    Imran, Jasim
    [J]. 2022 IEEE SENSORS, 2022,
  • [6] An Inexpensive Open-Source Chamber for Controlled Hypoxia/Hyperoxia Exposure
    Hillman, Tyler C.
    Idnani, Ryan
    Wilson, Christopher G.
    [J]. FRONTIERS IN PHYSIOLOGY, 2022, 13
  • [7] Automation of fizzy extraction enabled by inexpensive open-source modules
    Yang, Hao-Chun
    Chang, Chun-Ming
    Urban, Pawel L.
    [J]. HELIYON, 2019, 5 (05)
  • [8] An Open-Source Watertight Unmanned Aerial Vehicle for Water Quality Monitoring
    Rodrigues, Paulo
    Marques, Francisco
    Pinto, Eduardo
    Pombeiro, Ricardo
    Lourenco, Andre
    Mendonca, Ricardo
    Santana, Pedro
    Barata, Jose
    [J]. OCEANS 2015 - MTS/IEEE WASHINGTON, 2015,
  • [9] Open-Source Remote Gait Analysis: A Post-Surgery Patient Monitoring Application
    Gurchiek, Reed D.
    Choquette, Rebecca H.
    Beynnon, Bruce D.
    Slauterbeck, James R.
    Tourville, Timothy W.
    Toth, Michael J.
    McGinnis, Ryan S.
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [10] Open-Source Remote Gait Analysis: A Post-Surgery Patient Monitoring Application
    Reed D. Gurchiek
    Rebecca H. Choquette
    Bruce D. Beynnon
    James R. Slauterbeck
    Timothy W. Tourville
    Michael J. Toth
    Ryan S. McGinnis
    [J]. Scientific Reports, 9